Top Tech Jobs & Startup Jobs in Austin, TX

Drafts and negotiates enterprise SaaS, vendor, partner, data-provider, privacy, security, and other commercial agreements. Advises Sales and cross-functional stakeholders on contract risks, escalation, and practical deal execution. Maintains templates, playbooks, clause guidance, and contracting workflows, including AI-enabled legal tools. Supports legal training and initiatives while independently managing multiple time-sensitive matters.

Lead Ontic’s revenue marketing strategy across demand generation, field marketing, events, brand, communications, and content. Build and mentor a multidisciplinary team, partner with Sales to drive pipeline, manage marketing budgets and technology, and optimize campaigns through attribution and ROI analysis. The role requires strategic leadership, data-driven execution, strong enterprise B2B SaaS experience, and on-site work in the Austin area.

Own cross-product product management across the Ontic portfolio, including team priorities, roadmaps, discovery, customer validation, requirements, backlog prioritization, and feature delivery. Partner with engineering, design, and go-to-market teams to execute product improvements, identify valuable AI and automation opportunities, refine agile processes, and align product initiatives with company strategy.

Senior QA Engineer responsible for manual and automated testing across front-end, API, integration, and FedRAMP environments. Owns quality from requirements through production readiness, including risk-based test planning, regression coverage, automation, defect management, release communication, and CI/CD support. Collaborates with product and engineering teams, identifies testability risks, reviews other engineers’ work, and mentors junior QA staff.

Architects and operates secure, scalable Kubernetes platforms across AWS and AWS GovCloud, including FedRAMP environments. Leads DevSecOps, zero-trust security, Terraform and GitOps automation, observability, reliability engineering, disaster recovery, AI-enabled operations, and FinOps governance. Designs multi-tenant and dedicated deployments, improves scalability and performance, establishes SLOs, and ensures compliance. Provides technical leadership, mentors engineers, and partners with Security and Engineering on platform strategy.

Design, build, and deploy scalable full stack features across backend and frontend systems. Lead technical design discussions, make architectural decisions, collaborate with product and engineering teams, conduct code reviews, mentor engineers, resolve performance and scalability issues, address security concerns, support deployments, and help prioritize technical debt.

Provides organization-wide technical leadership across full-stack systems. Defines architecture and engineering strategy, solves complex cross-system problems, drives performance, scalability, security, and lifecycle health, and mentors engineers. Requires deep backend expertise with Java and distributed data systems, plus expert frontend skills in JavaScript, React, TypeScript, and modern tooling. Partners with engineering and product leaders on high-impact initiatives in a FedRAMP environment.

Own complex SaaS support cases from intake through resolution, manage escalations and SLAs, coordinate with engineering and product teams, communicate with clients, support releases and incidents, analyze support trends, create documentation, use AI-enabled tools, improve support processes, and mentor support specialists.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake. Architect data foundations to power AI and LLM-enabled workflows, operationalize core SaaS metrics, and build reusable data assets for analytics and activation. Partner cross-functionally to embed analytics into workflows and ensure scalable, secure architecture.

Own the integrations product roadmap, including API contracts, canonical data models, integration frameworks, marketplaces, developer experience, and monetization. Partner with Engineering, GTM, Customer Success, and field teams to translate customer needs into scalable integration products. Define standards, packaging, pricing, success metrics, and AI-enabled integration opportunities while ensuring strong interoperability, self-service configuration, documentation, and platform adoption.